GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling

Hoch, Jannis M.; Neal, Jeffrey C.; Baart, Fedor; van Beek, Rens; Winsemius, Hessel C.; Bates, Paul D.; Bierkens, Marc F. P.

doi:https://doi.org/10.5194/gmd-10-3913-2017

Articles | Volume 10, issue 10

https://doi.org/10.5194/gmd-10-3913-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-10-3913-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 10

Model description paper

|

27 Oct 2017

Model description paper |

| 27 Oct 2017

GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling

Jannis M. Hoch, Jeffrey C. Neal, Fedor Baart, Rens van Beek, Hessel C. Winsemius, Paul D. Bates, and Marc F. P. Bierkens

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Final revised paper (published on 27 Oct 2017)
Preprint (discussion started on 19 Jun 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of "A globally applicable computational framework for integrated hydrological-hydrodynamic modelling"', Anonymous Referee #1, 08 Aug 2017
- AC2: 'Reply to RC1, Anonymous reviewr', Jannis Hoch, 31 Aug 2017
RC2: 'Review Comments', Dai Yamazaki, 14 Aug 2017
- AC1: 'Reply to RC2 Dai Yamazaki', Jannis Hoch, 31 Aug 2017
SC1: 'Comments on "GLOFRIM v1.0 – A globally applicable computational framework..."', Daniele P. Viero, 29 Aug 2017
- SC2: 'Reply to SC1', Jannis Hoch, 29 Aug 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Jannis Hoch on behalf of the Authors (15 Sep 2017) Author's response Manuscript

ED: Publish as is (25 Sep 2017) by Bethanna Jackson

AR by Jannis Hoch on behalf of the Authors (25 Sep 2017)

Short summary

To improve flood hazard assessments, it is vital to model all relevant processes. We here present GLOFRIM, a framework for coupling hydrologic and hydrodynamic models to increase the number of physical processes represented in hazard computations. GLOFRIM is openly available, versatile, and extensible with more models. Results also underpin its added value for model benchmarking, showing that not only model forcing but also grid properties and the numerical scheme influence output accuracy.